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市場調查報告書

農業的IoT (物聯網) :市場展望·預測 2018-2023年

IoT in Agriculture: Market Outlook and Forecasts 2018 - 2023

出版商 Mind Commerce 商品編碼 371808
出版日期 內容資訊 英文 215 Pages
商品交期: 最快1-2個工作天內
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農業的IoT (物聯網) :市場展望·預測 2018-2023年 IoT in Agriculture: Market Outlook and Forecasts 2018 - 2023
出版日期: 2018年07月30日內容資訊: 英文 215 Pages
簡介

農業在這數十年間已經由中、小規模的農業經營轉變為少數大企業高度工業化的商業性農業。為了有效率進行作物的栽培,家畜的飼養和魚的養殖,農業日益機械化,並由電腦管理。

本報告提供農業的IoT (物聯網) 用技術,企業及解決方案的相關調查,依全球及各地區別來提供市場整體評估及感測器,服務,解決方案及資料分析等預測

第1章 摘要整理

第2章 概要

  • 農產業
  • 農業的未來
  • 智慧農業的展望
  • 智慧農業的應用
  • 智慧農業系統·功能性

第3章 農業的IoT的機會分析

  • 農業的IoT市場
    • 自然災害管理與減災
    • 物聯網在減少農業損失中的作用
    • 整合農場經營和IoT
    • 智慧型手機在監測/控制農業物聯網中的作用
    • 農業商業模式中的新興物聯網
  • 大規模農業經營IoT
  • 中小規模農業IoT

第4章 農業市場上IoT分析·預測

  • 全球IoT農業收益:各用途
  • 全球IoT農業收益:各市場區隔
    • 全球智慧型農機具市場
    • 全球農業的智慧感應器市場
    • 全球農業用無人機市場
    • 全球智慧農場機器人市場
    • 全球農業軟體解決方案市場
  • 全球IoT農業解決方案市場
    • 全球IoT精密農業收益
    • 全球IoT植物工廠收益
    • 全球IoT畜產農業收益
    • 全球IoT水產·養殖收益
  • 農業的IoT收益:各地區
    • 農業的IoT的北美市場
    • 農業的IoT的歐洲市場
    • 農業的IoT的亞太地區市場
    • 農業的IoT的其他市場
  • 全球IoT農業的管理服務
  • 智慧農業的預測分析·人工智能

第5章 農業的IoT的供應商分析

  • 智慧農業的供應商生態系統
  • 農業的IoT的供應商策略
  • 主要的智慧農業解決方案
    • Accenture
    • Agribiotix
    • Cattle Watch
    • Climate Corporation (Monsanto)
    • Decagon (METER Environment)
    • Deepfield Robotics ( Bosch)
    • DroneDeploy
    • FarmersEdge
    • IBM
    • Euravka
    • FieldSync
    • FluxFarm Inc.
    • John Deere
    • Kaa Open Source IoT Platform
    • Libelium Comunicaciones Distribuidas S.L.
    • MTN
    • Nwave
    • OnFarm
    • SlantRange
    • Telit
    • ThingWorx (PTC)
    • TopCon
    • Qualcomm Flight Platform
    • Raven Industries
    • Semtech
    • Trackit

第6章 附錄1:IoT資料分析

第7章 附錄2:IoT技術

第8章 附錄3:支援技術

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目錄

Overview:

Agriculture has transformed in the last few decades from small to medium farming operations to highly industrialized, commercial farming that is concentrated among a few large corporations. Growing crops and raising livestock and fish has become an increasingly mechanized and computer-driven operation. This allows corporations to treat agriculture like manufacturing in the sense that measurements, data, and control is very important to manage costs, maximize yields, and boost profits. The Internet of Things (IoT) in Agriculture (IoTAg) represents the use of technology wherein agricultural planning and operations becomes connected in ways previously impossible if it were not for advances in sensors, communications, data analytics and other areas.

The commercial agriculture industry is rapidly becoming one of the most IoT data-driven markets. With the emergence of M2M, IoT, and advanced data analytics technologies, data is becoming available that was previously uncollectible. The application of various AgriTech analytics tools and methodologies, such as predictive analytics will provide substantial enhancements to agriculture operations. Virtually every aspect of agriculture that can be automated, digitally planned, and managed will benefit from IoT technologies and solutions. Accordingly, IoTAg will change the way agricultural operations and farms are managed, which will bring various benefits to farming, including enhanced crop quality and quantity; improved use of resources and farm equipment; real-time monitoring of farms, animals, and machines; and automated irrigation systems, fertilizer spraying, and pest control.

Another M2M/IoT and data-driven shift is traditional farm management is evolving to a software-managed operation that is managed by people unskilled in traditional farming practices. The agriculture sector is increasingly controlled by companies that are not conventional experts of agriculture, such as farmers and traditional farm value chain, including farm equipment makers, seed suppliers, and producers and suppliers of plant foods and chemicals. Mind Commerce sees a transition from conventional agriculture to Farm Management Systems. With this shift, software developers and predictive data analytics companies will take over control of end-to-end agricultural operations.

This research assesses the technologies, companies, and solutions for IoT in agriculture. The report evaluates the overall marketplace and provides forecasts for sensors (and other devices), services, solutions, and data analytics globally, and regionally for the period 2018 to 2023. Forecasts include precision agriculture, indoor farming, livestock, and fisheries. Forecasts cover IoT in Agriculture solutions globally and regionally including: Intelligent Farm Equipment, Smart Sensor Systems, Intelligent Drones, Smart Farm Robots, and Software. Within the Smart Sensor area, the report forecasts the following: Sensors for Detecting Physical Properties, Sensors for Chemical Analysis and Applications, Sensors for General Monitoring, Sensors for Quality, Sensors for Autonomous Agriculture, and Others. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Report Benefits:

  • Detailed IoTAg forecasts 2018 to 2023
  • Identify important IoTAg companies and solutions
  • Understand IoTAg market challenges and opportunities
  • Identify opportunities to leverage IoTAg data and analytics
  • Understand the future of agriculture automation and operations

Target Audience:

  • Sensor providers
  • AgriTech companies
  • IoT service providers
  • IoT network providers
  • Semiconductor companies
  • Embedded systems companies

Companies in Report:

  • Accenture
  • Agribiotix
  • Cattle Watch
  • Climate Corporation
  • Decagon
  • Deepfield Robotics (Bosch)
  • DroneDeploy
  • FarmersEdge
  • IBM
  • Euravka
  • FieldSync
  • FluxFarm Inc.
  • John Deere
  • Kaa
  • Libelium
  • MTN
  • Nwave
  • OnFarm
  • SlantRange
  • Telit
  • ThingWorx
  • TopCon
  • Qualcomm Flight Platform
  • Raven Industries
  • Semtech
  • Trackit

Table of Contents

1. Executive Summary

  • 1.1. Global Market for Smart Agriculture
  • 1.2. Outlook for Top Line Revenue Growth
  • 1.3. Success Factors
    • 1.3.1. Markets will be Largely Driven By Scale of Farming Operations
    • 1.3.2. Production and Enhancing Quality will be Marketplace Movers
    • 1.3.3. Key Go-to-Market Strategies

2. Overview

  • 2.1. Agriculture Industry
    • 2.1.1. Agriculture Industry Economics
    • 2.1.2. Technological Transformation of the Agriculture Industry
    • 2.1.3. Vision for Agriculture Industry 2050
  • 2.2. Future of Agriculture
  • 2.3. Smart Agriculture Outlook
  • 2.4. Smart Agriculture Applications
    • 2.4.1. Precision Agriculture
    • 2.4.2. Indoor Farming
    • 2.4.3. Livestock Monitoring
    • 2.4.4. Fish Farming
  • 2.5. Smart Agriculture Systems and Functionality

3. IoT in Agriculture Opportunity Analysis

  • 3.1. Market for IoT in Agriculture
    • 3.1.1. Natural Disaster Management and Mitigation
    • 3.1.2. The Role of IoT in Reducing Agricultural Losses
    • 3.1.3. Integrating IoT with Farming Operations
    • 3.1.4. Smartphone Role in Monitoring/Controlling IoT in Agriculture
    • 3.1.5. Emerging IoT in Agriculture Business Models
  • 3.2. IoT for Large-scale Agriculture Operations
  • 3.3. IoT for Small to Medium Scale Farming

4. IoT in Agriculture Market Analysis and Forecasts

  • 4.1. Global IoT Agriculture Revenue by Application 2017-2022
  • 4.2. Global IoT Agriculture Revenue by Segment 2017-2022
    • 4.2.1. Global Intelligent Farm Equipment Market 2017-2022
    • 4.2.2. Global Smart Sensors in Agriculture Market 2017-2022
      • 4.2.2.1. Market by Smart Sensor Type for IoT in Agriculture 2017-2022
    • 4.2.3. Global Agricultural Drone Market 2017-2022
    • 4.2.4. Global Smart Farm Robot Market 2017-2022
    • 4.2.5. Global AgricultureSoftware Solutions Market 2017-2022
  • 4.3. Global IoT in Agriculture Solution Market
    • 4.3.1. Global Revenue for IoT Precision Agriculture
    • 4.3.2. Global Revenue for IoT Indoor Farming
    • 4.3.3. Global Revenue for IoT Livestock Farming
    • 4.3.4. Global Revenue for IoT Fisheries and Aquaculture
  • 4.4. IoT in Agriculture Revenue by Region
    • 4.4.1. North American Market for IoT in Agriculture
    • 4.4.2. European Market for IoT in Agriculture
    • 4.4.3. APAC Market for IoT in Agriculture
    • 4.4.4. Rest of World Market for IoT in Agriculture
  • 4.5. Global Managed Services in IoT Agriculture
  • 4.6. Predictive Analytics and Artificial Intelligence in Smart Agriculture

5. IoT in Agriculture Vendor Analysis

  • 5.1. Smart Agriculture Vendor Ecosystem
  • 5.2. IoT in Agriculture Vendor Strategies
  • 5.3. Select Smart Agriculture Solutions
    • 5.3.1. Accenture
    • 5.3.2. Agribiotix
    • 5.3.3. Cattle Watch
    • 5.3.4. Climate Corporation (Monsanto)
    • 5.3.5. Decagon (METER Environment)
    • 5.3.6. Deepfield Robotics ( Bosch)
    • 5.3.7. DroneDeploy
    • 5.3.8. FarmersEdge
    • 5.3.9. IBM
    • 5.3.10. Euravka
    • 5.3.11. FieldSync
    • 5.3.12. FluxFarm Inc.
    • 5.3.13. John Deere
    • 5.3.14. Kaa Open Source IoT Platform
    • 5.3.15. Libelium Comunicaciones Distribuidas S.L.
    • 5.3.16. MTN
    • 5.3.17. Nwave
    • 5.3.18. OnFarm
    • 5.3.19. SlantRange
    • 5.3.20. Telit
    • 5.3.21. ThingWorx (PTC)
    • 5.3.22. TopCon
    • 5.3.23. Qualcomm Flight Platform
    • 5.3.24. Raven Industries
    • 5.3.25. Semtech
    • 5.3.26. Trackit

6. Appendix 1: IoT Data Analytics

  • 6.1. IoT in Agriculture Data Analytics Market
  • 6.2. IoT in Agriculture Data Analytics 2017-2022

7. Appendix 2: IoT Technologies

  • 7.1. Defining IoT
  • 7.2. Embedded Systems and IoT
  • 7.3. Ubiquitous Computing
  • 7.4. Teleoperation and IoT
  • 7.5. IoT Industry Groups
  • 7.6. IoT Communication Protocols and Standards
    • 7.6.1. Many Organizations and Many Standards Efforts
    • 7.6.2. Overlapping Standards, Protocols and Technical Approaches
  • 7.7. IoT Solutions and Applications

8. Appendix 3: Supporting Technologies

  • 8.1. Connected Devices
  • 8.2. Macro Area Wireless: Cellular
    • 8.2.1. Most Prevalent Digital Cellular Systems: 2G and 3G
      • 8.2.1.1. LTE Direct (LTE-D)
      • 8.2.1.2. LTE Advanced
    • 8.2.2. Heterogeneous Networks (HetNet)
  • 8.3. Macro Area Wireless: Non-cellular
    • 8.3.1. WiMAX
    • 8.3.2. Satellite
  • 8.4. Short Range Wireless
    • 8.4.1. WiFi
    • 8.4.2. LiFi
    • 8.4.3. RF Identification (RFID)
    • 8.4.4. Bluetooth
    • 8.4.5. ZigBee
    • 8.4.6. Ultra Wide Band (UWB)
    • 8.4.7. Dedicated Short-range Communications
    • 8.4.8. Beacon Technologies
  • 8.5. Internet Protocol version Six (IPv6)
  • 8.6. Sensors and Detection Technologies
  • 8.7. Data Storage/Management
  • 8.8. APIs and Data Integration
  • 8.9. Machine-to-Machine (M2M)
  • 8.10. Wearable Wireless and Computing
  • 8.11. Augmented Reality and Media
  • 8.12. Big Data, Predictive Analysis, and Business Intelligence
  • 8.13. IoT and Cloud Technologies/Solutions
  • 8.14. IoT Mediation and Orchestration

Figures

  • Figure 1: Global Aggregate Revenue for IoT in Agriculture 2018-2023
  • Figure 2: Global IoT Agriculture Revenue by Application 2018-2023
  • Figure 3: Global IoT Agriculture Revenue by Segment 2018-2023
  • Figure 4: Global IoT Agriculture Solution Deployment 2018-2023
  • Figure 5: Global Intelligent Farm Equipment Unit Deployment vs. Revenue 2018-2023
  • Figure 6: Intelligent Farm Equipment Revenue by Region 2018-2023
  • Figure 7: Intelligent Farm Equipment Deployment by Region 2018-2023
  • Figure 8: Global Smart Sensors in Agriculture Unit Deployment vs. Revenue 2018-2023
  • Figure 9: Smart Sensors in Agriculture Revenue by Region 2018-2023
  • Figure 10: Regional Smart Sensors in Agriculture Deployment 2018-2023
  • Figure 11: Global Revenue by Smart Sensors Type 2018-2023
  • Figure 12: Global Smart Sensors in Agriculture Deployment by Type 2018-2023
  • Figure 13: Global Agricultural Drone Unit Deployment vs. Revenue 2018-2023
  • Figure 14: Agricultural Drone Revenue by Region 2018-2023
  • Figure 15: Global Agricultural Revenue by Drone Type 2018-2023
  • Figure 16: Global Agricultural Drone Deployment by Type 2018-2023
  • Figure 17: Global Smart Farm Robot Unit Deployment vs. Revenue 2018-2023
  • Figure 18: Smart Farm Robot Regional Revenue 2018-2023
  • Figure 19: Smart Farm Robot Deployment by Region 2018-2023
  • Figure 20: Global Agriculture Software Solutions Deployment vs. Revenue 2018-2023
  • Figure 21: IoT Software Solutions in Agriculture Revenue by Region 2018-2023
  • Figure 22: IoT Software Solutions in Agriculture Deployment by Region 2018-2023
  • Figure 23: Global IoT in Agriculture Revenue by Solution Type 2018-2023
  • Figure 24: IoT in Agriculture by Region 2018-2023
  • Figure 25: IoT in Agriculture Deployment by Region 2018-2023
  • Figure 26: North America IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Figure 27: European IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Figure 28: APAC IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Figure 29: RoW IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Figure 30: Big Data and Analytics Framework for Agriculture
  • Figure 31: The Evolution of IoT
  • Figure 32: IoT Industry Roadmap
  • Figure 33: HetNet Topology
  • Figure 34: WiMAX Communications
  • Figure 35: RFID Chip Compared to a Grain of Rice
  • Figure 36: Embedded Thermal Sensors
  • Figure 37: Sensors in Macro Environment for IoT

Tables

  • Table 1: Global Aggregate Revenue for IoT in Agriculture
  • Table 2: Global IoT Agriculture Revenue by Application
  • Table 3: Global IoT Agriculture Revenue by Segment 2018-2023
  • Table 4: Global IoT Agriculture Solution Deployment 2018-2023
  • Table 5: Global Intelligent Farm Equipment Unit Deployment vs. Revenue 2018-2023
  • Table 6: Intelligent Farm Equipment Revenue by Region 2018-2023
  • Table 7: Intelligent Farm Equipment Deployment by Region 2018-2023
  • Table 8: Global Smart Sensors in Agriculture Unit Deployment vs. Revenue 2018-2023
  • Table 9: Global Smart Sensors in Agriculture Revenue 2018-2023
  • Table 10: Smart Sensors in Agriculture Regional Deployment 2018-2023
  • Table 11: Global Revenue by Smart Sensor Type 2018-2023
  • Table 12: Global Smart Sensors in Agriculture Deployment by Type 2018-2023
  • Table 13: Global Agricultural Drone Unit Deployment vs. Revenue 2018-2023
  • Table 14: Agricultural Drone Revenue by Region 2018-2023
  • Table 15: Agricultural Drone Deployment by Region 2018-2023
  • Table 16: Global Agricultural Revenue by Drone Type 2018-2023
  • Table 17: Global Agricultural Drone Deployment by Type 2018-2023
  • Table 18: Global Smart Farm Robot Unit Deployment vs. Revenue 2018-2023
  • Table 19: Smart Farm Robot Regional Revenue 2018-2023
  • Table 20: Smart Farm Robot Deployment by Region 2018-2023
  • Table 21: Global Agriculture Software Solutions Deployment vs. Revenue 2018-2023
  • Table 22: IoT Software Solutions in Agriculture Revenue by Region 2018-2023
  • Table 23: IoT Software Solutions in Agriculture Deployment by Region 2018-2023
  • Table 24: Global IoT in Agriculture Revenue by Solution Type 2018-2023
  • Table 25: Global Revenue for IoT Precision Agriculture by Solution 2018-2023
  • Table 26: Global Revenue for IoT Indoor Farming by Solution 2018-2023
  • Table 27: Global Revenue for IoT Livestock Farming by Solution 2018-2023
  • Table 28: Global Revenue for IoT Fisheries and Aquaculture by Solution 2018-2023
  • Table 29: IoT in Agriculture by Region 2018-2023
  • Table 30: IoT in Agriculture Deployment by Region 2018-2023
  • Table 31: North America IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Table 32: North American IoT in Agriculture Revenue by Segment 2018-2023
  • Table 33: North American IoT in Agriculture Deployment by Segment 2018-2023
  • Table 34: European IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Table 35: European IoT in Agriculture Revenue by Segment 2018-2023
  • Table 36: European IoT in Agriculture Deployment by Segment 2018-2023
  • Table 37: APAC IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Table 38: APAC IoT in Agriculture Revenue by Segment 2018-2023
  • Table 39: APAC IoT in Agriculture Deployment by Segment 2018-2023
  • Table 40: RoW IoT in Agriculture Deployment vs. Revenue 2018-2023
  • Table 41: RoW IoT in Agriculture Revenue by Segment 2018-2023
  • Table 42: RoW IoT in Agriculture Deployment by Segment 2018-2023
  • Table 43: Global Managed IoT Services in Agriculture 2018-2023
  • Table 44: Services offered by Deepfield Robotics
  • Table 45: OnFarm Data Management Platform Economics
  • Table 46: IoT Driven Big Data Analytics in Agriculture Revenue 2018-2023
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